内在无序的蛋白质可以表现为不同的聚合物在他们的构象集合

IF 2.9 2区 化学 Q3 CHEMISTRY, PHYSICAL
Saikat Chakraborty*, Tatiana I. Morozova and Jean-Louis Barrat, 
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引用次数: 0

摘要

内在无序蛋白质(IDPs)是一种大分子,与折叠良好的蛋白质相比,它们具有大量的构象异质状态。在这项工作中,我们利用哈密顿复制交换原子分子动力学(MD)模拟研究了无序蛋白β-酪蛋白的构象空间。能量景观包含一个全球最小值以及两个浅漏斗。对单个漏斗分别采用静态聚合物标度定律,我们发现它们不能用相同的聚合物标度指数来描述。在全局最小值附近,构象是球形的,而在局部最小值附近,我们恢复了线圈状的缩放。为了阐明结构多样性对平衡动力学的影响,我们在NVT集合中使用每个漏斗的代表性构象进行了标准的MD模拟。不同类型轨迹的整体运动和内部运动表现出具有球状到线圈状特征的非均匀动力学。因此,IDPs可以在构象空间的不同区域表现为完全不同的聚合物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Intrinsically Disordered Proteins Can Behave as Different Polymers across Their Conformational Ensemble

Intrinsically Disordered Proteins Can Behave as Different Polymers across Their Conformational Ensemble

Intrinsically disordered proteins (IDPs) are macromolecules, which in contrast to well-folded proteins explore a large number of conformationally heterogeneous states. In this work, we investigate the conformational space of the disordered protein β-casein using Hamiltonian replica exchange atomistic molecular dynamics (MD) simulations in explicit water. The energy landscape contains a global minimum along with two shallow funnels. Employing static polymeric scaling laws separately for individual funnels, we find that they cannot be described by the same polymeric scaling exponent. Around the global minimum, the conformations are globular, whereas in the vicinity of local minima, we recover coil-like scaling. To elucidate the implications of structural diversity on equilibrium dynamics, we initiated standard MD simulations in the NVT ensemble with representative conformations from each funnel. Global and internal motions for different classes of trajectories show heterogeneous dynamics with globule to coil-like signatures. Thus, IDPs can behave as entirely different polymers in different regions of the conformational space.

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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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